PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
Parallel simulated annealing by mixing of states
Journal of Computational Physics
Collaboration rules for autonomous software agents
Decision Support Systems - Special issue on restructuring the electric power business—a new paradigm for reducing regulation
Ant algorithms for discrete optimization
Artificial Life
Global optimization properties of parallel cooperative search algorithms: a simulation study
Parallel Computing - High performance computing in operations research
Asynchronous Teams: Cooperation Schemes for Autonomous Agents
Journal of Heuristics
Multimeme Algorithms for Protein Structure Prediction
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Ant Colony Optimization
Self Generating Metaheuristics in Bioinformatics: The Proteins Structure Comparison Case
Genetic Programming and Evolvable Machines
Cooperative Parallel Variable Neighborhood Search for the p-Median
Journal of Heuristics
A cooperative parallel meta-heuristic for the vehicle routing problem with time windows
Computers and Operations Research
Fuzzy Sets Based Heuristics for Optimization
Fuzzy Sets Based Heuristics for Optimization
A fuzzy logic-based computational recognition-primed decision model
Information Sciences: an International Journal
Information Sciences: an International Journal
Search spaces representation in optimization problems
Expert Systems with Applications: An International Journal
On heuristics as a fundamental constituent of soft computing
Fuzzy Sets and Systems
Soft computing and cooperative strategies for optimization
Applied Soft Computing
Using machine learning in a cooperative hybrid parallel strategy of metaheuristics
Information Sciences: an International Journal
A software modeling approach for the design and analysis of cooperative optimization systems
Software—Practice & Experience
A memetic cooperative optimization schema and its application to the tool switching problem
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
Information Sciences: an International Journal
Three improved hybrid metaheuristic algorithms for engineering design optimization
Applied Soft Computing
Hi-index | 0.07 |
In this article, we analyze a co-operative multi-thread search-based optimization strategy, where each solver thread represents a different optimization algorithm (or the same one with different settings), and they are all controlled by a centralized co-ordinator. We also propose the use of memory to keep track of both the state of the individual threads and the obtained solutions. Based on this memory, a very simple fuzzy rule base is used to control the system behavior. We also present the results of three computational experiments. The first of these checks the strategy by comparing it with an independent search strategy and a sequential algorithm, and the superiority of the co-operative scheme is confirmed. The second analyzes how definition of the threads affects the quality of the results, and the importance of there being a balanced set between intensification and diversification is corroborated. The third explores the use of memory with two different fuzzy rules, and the results indicate that the best combination is to use memory together with two rules (solver dependent and solver independent ones) (although this combination should not be activated at the beginning of the search in order to avoid premature convergence).